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Olvi L. Mangasarian

Olvi L. Mangasarian is a mathematics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Olvi L. Mangasarian rather than just read about it. In short: Olvi Leon Mangasarian (12 January 1934 – 15 March 2020) was the John von Neumann Professor Emeritus of Mathematics and Computer Sciences in Department of Mathematics, University of California, San Diego and Professor Emeritus of Computer Sciences at the University of Wisconsin-Madison and a recognised expert on optimization, data mining, and classification. In 2000, while professor in the Computer Science Department…

Key takeaways

  • Olvi L. Mangasarian belongs to mathematics; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Olvi L. Mangasarian to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Olvi L. Mangasarian from memory before moving on to harder problems.

Reference excerpt

Olvi Leon Mangasarian (12 January 1934 – 15 March 2020) was the John von Neumann Professor Emeritus of Mathematics and Computer Sciences in Department of Mathematics, University of California, San Diego and Professor Emeritus of Computer Sciences at the University of Wisconsin-Madison and a recognised expert on optimization, data mining, and classification. In 2000, while professor in the Computer Science Department of the University of Wisconsin–Madison, he was awarded the Frederick W. Lanchester Prize for pioneering work in introducing the use of Operations Research techniques to the field of data mining with a particularly notable application being to breast cancer diagnosis.

Selected publications Mangasarian, O. L. (1993). Nonlinear programming (Vol. 10). SIAM.

Festschrift Pang, J. S. (1999). Computational Optimization: A Tribute to Olvi Mangasarian, Volumes I and II. Kluwer Acad. Publ.

References

External links personal homepage Lanchester Prize announcement

Worked examples

Example 1 — a first encounter with Olvi L. Mangasarian

Start with the simplest possible case. Write down what Olvi L. Mangasarian claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In mathematics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Olvi L. Mangasarian before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Olvi L. Mangasarian ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Olvi L. Mangasarian

In research
Olvi L. Mangasarian appears in mathematics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Olvi L. Mangasarian in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Olvi L. Mangasarian is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1934 births, 2020 deaths, 20th-century American mathematicians, so understanding it makes those chapters shorter.
In everyday life
Look for Olvi L. Mangasarian outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Olvi L. Mangasarian in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Olvi L. Mangasarian means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Olvi L. Mangasarian out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Olvi L. Mangasarian in simple terms?

Olvi Leon Mangasarian (12 January 1934 – 15 March 2020) was the John von Neumann Professor Emeritus of Mathematics and Computer Sciences in Department of Mathematics, University of California, San Diego and Professor Emeritus of Computer Sciences at the University of Wisconsin-Madison and a recogni…

Why does Olvi L. Mangasarian matter?

Because it connects several mathematics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Olvi L. Mangasarian?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Olvi L. Mangasarian.

Tags

  • 1934 births
  • 2020 deaths
  • 20th-century American mathematicians
  • 21st-century American mathematicians
  • American mathematician stubs
  • American operations researchers
  • Harvard University alumni
  • Iraqi emigrants to the United States
  • University of California, San Diego faculty
  • University of Wisconsin–Madison faculty

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